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Conversational Ai Developer Jobs in Colorado (NOW HIRING)

micro1 AI

AI Data Trainer - MS Suite - Remote

Denver, CO · Remote

$35 - $50/hr

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... Familiarity with conversational interactions or prompt engineering with language models is a plus ...

DigitalOcean

Revenue Enablement Manager

Denver, CO · Remote

$160K - $195K/yr

They will develop deep fluency in AI by working closely with product and engineering, then ... conversational AI, search, voice, and agentic - keeping materials current as the product and ...

Eliassen Group

Product Manager

Almont, CO · On-site

$80 - $90/hr

Experience with Generative AI, AI Agents, MCP protocols, prompt engineering, or conversational AI solutions. * Preferred: Background in HR Technology, Employee Experience, Talent Management, or ...

New

BETSOL

CCaaS GCP Product Owner

Broomfield, CO · On-site +1

... conversational AI, and reporting and analytics. * Collaborate with vendors and engineering teams to evaluate emerging platform capabilities. Governance, Security & Compliance (5%) * Ensure security ...

Betsol

CCaaS GCP Product Owner

Broomfield, CO

... conversational AI, and reporting and analytics. * Collaborate with vendors and engineering teams to evaluate emerging platform capabilities. Governance, Security & Compliance (5%) * Ensure security ...

Workday

Principal Cybersecurity Engineer

Boulder, CO · Hybrid

... engineering and response expertise with knowledge on how to apply AI to security response processes ... Experience with at least one scripting language, artificial intelligence (conversational AI ...

DigitalOcean

Revenue Enablement Manager

Denver, CO · On-site

$160K - $195K/yr

They will develop deep fluency in AI by working closely with product and engineering, then ... conversational AI, search, voice, and agentic - keeping materials current as the product and ...

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Conversational Ai Developer information

What are the key skills and qualifications needed to thrive as a conversational AI developer?

To thrive as a Conversational AI Developer, you need a solid background in computer science, natural language processing (NLP), and machine learning, often supported by a relevant degree or certifications. Familiarity with tools like Python, TensorFlow, NLP libraries (such as spaCy or NLTK), and conversational platforms (like Dialogflow or Microsoft Bot Framework) is typically required. Strong problem-solving abilities, creativity, and effective communication skills help developers design intuitive and engaging conversational experiences. These skills are crucial for building AI systems that understand and respond accurately to human language, ensuring user satisfaction and business value.

What is a conversational AI developer?

A Conversational AI Developer is a professional who designs, builds, and maintains artificial intelligence systems that enable computers to interact with humans using natural language. These developers create chatbots, virtual assistants, and voice-enabled applications that can understand and respond to user input in a conversational manner. Their work often involves programming, natural language processing (NLP), machine learning, and integrating AI systems with various platforms or devices. They play a key role in improving user experiences through more intuitive, human-like interactions with technology.

What is the difference between Conversational Ai Developer vs Chatbot Developer?

AspectConversational Ai DeveloperChatbot Developer
Required CredentialsProgramming skills, AI/machine learning knowledge, NLP expertiseProgramming skills, basic AI understanding, scripting
Work EnvironmentTech companies, AI startups, enterprise AI teamsCustomer service, marketing, small to medium businesses
Industry UsageDevelops complex conversational systems with AI capabilitiesBuilds rule-based or simple chatbots for specific tasks
Search & Comparison IntentUnderstanding AI-driven conversational systemsCreating basic automated chat interactions

Conversational Ai Developers focus on building advanced, AI-powered conversational systems using NLP and machine learning, often working in tech or enterprise environments. Chatbot Developers typically create rule-based or simple chatbots for customer service or marketing, with less emphasis on AI complexity. While both roles involve programming and scripting, Conversational Ai Developers require deeper AI and NLP expertise for sophisticated interactions.

What are some common challenges conversational AI developers face when optimizing chatbot performance?

Conversational AI Developers often encounter challenges such as accurately interpreting user intent, handling ambiguous or unexpected queries, and maintaining natural, engaging dialogue flows. Balancing the need for robust natural language understanding with system efficiency and scalability is also key. Additionally, integrating the chatbot with existing platforms and ensuring data privacy can require careful planning and cross-functional collaboration.

What are popular job titles related to Conversational Ai Developer jobs in Colorado?

For Conversational Ai Developer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Conversational Ai Developer jobs in Colorado look for?

The top searched job categories for Conversational Ai Developer jobs in Colorado are:

Conversational Ai Developer jobs near you
Infographic showing various Conversational Ai Developer job openings in Colorado as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

AI Data Trainer - MS Suite - Remote

micro1 AI

Denver, CO • Remote

$35 - $50/hr

Part-time

Re-posted 8 days ago

Job description

Role Title: Business Document Expert (Excel, PowerPoint, Word)


Role Type: Contractor


Location: Remote


micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a project designed to advance AI capabilities in professional business documentation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.


Scope of Work


  1. Design and create realistic business tasks and scenarios based on your professional experience involving complex PowerPoint, Excel, and Word deliverables.
  2. Engage in dynamic, prompt-driven conversations with language models, challenging them with work representative of Fortune 500 business environments.
  3. Evaluate AI-generated solutions by comparing multiple model responses, assessing quality, accuracy, and effectiveness for real-world business needs.
  4. Develop and submit detailed assessments highlighting strengths, weaknesses, and areas for model improvement based on your domain expertise.
  5. Contribute cross-functional tasks such as financial modeling, executive presentations, strategic proposals, or data-driven reporting, tailored to your industry background.
  6. Document findings and provide actionable feedback to inform the ongoing development of AI systems for business documentation use cases.
  7. Collaborate asynchronously with project coordinators to ensure the authenticity and utility of submitted challenges and evaluations.


Preferred Qualifications

  1. At least 3 years of hands-on experience in business settings across finance, healthcare, consulting, tech, retail, or related industries.
  2. Extensive proficiency with advanced Excel, PowerPoint, and Word—creating complex models, reports, presentations, and analyses.
  3. Direct experience supporting or driving projects in strategy, operations, sales, marketing, finance, or HR functions within a Fortune 500 context.
  4. Expertise in designing nuanced business scenarios that reflect challenging, high-impact office deliverables.
  5. Strong written and verbal communication skills, with the ability to clearly articulate feedback and rationale in documentation.
  6. Familiarity with conversational interactions or prompt engineering with language models is a plus, but not required.

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